Triple

T17672604
Position Surface form Disambiguated ID Type / Status
Subject Cherry E440559 entity
Predicate hasNotableBearer P458 FINISHED
Object Jake Cherry NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jake Cherry | Statement: [Cherry, hasNotableBearer, Jake Cherry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jake Cherry
Context triple: [Cherry, hasNotableBearer, Jake Cherry]
  • A. Jake Cherry chosen
    Jake Cherry is an American actor best known for playing Nick Daley, the son of Ben Stiller’s character, in the film "Night at the Museum" and its sequels.
  • B. Chris Chesser
    Chris Chesser is an American film and television producer best known for producing the hit baseball comedy film "Major League."
  • C. Chet Cunningham
    Chet Cunningham was a prolific American author best known for his numerous Westerns, military thrillers, and action-adventure novels.
  • D. Mitch McDeere
    Mitch McDeere is an ambitious young Harvard-educated lawyer who becomes entangled in a corrupt law firm’s criminal activities in John Grisham’s legal thriller "The Firm."
  • E. Charlie Nylund
    Charlie Nylund is the late husband of Rose Nylund, frequently referenced in the sitcom "The Golden Girls" as her beloved but often comically portrayed spouse from St. Olaf.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f69b11c8190b09add33f81776b3 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10 a.m.